To combat multiple forms of malnutrition, countries are investing in multisectoral interventions delivered through health, agriculture, social protection, education, and food systems. However, the question of who is being reached by multisector interventions remains...
TOOLKIT: One Nutrition Coverage Survey-Bangladesh
Overview of the Survey The One Nutrition Coverage Survey (ONCS) is methods-focused population-based household survey designed to generate comprehensive data on the coverage of multi-sectoral nutrition interventions across the life stages. Developed under the Data for...
Who is being reached with multisector nutrition interventions? Introducing a framework for co-coverage and composite coverage analysis
Measures of multisectoral nutrition intervention coverage Many countries implement multisectoral nutrition strategies that address malnutrition through interventions delivered by different sectors, including health, agriculture, education, industry, social protection,...
Measuring multi-sector nutrition and health intervention coverage using composite coverage analysis methods: A scoping review
Preprint Article | https://doi.org/10.12688/verixiv.2006.1 Date of Publication | September 2025 Abstract Composite indices provide an opportunity to measure the reach of multisector strategies as countries progress towards Sustainable Development Goals (SDGs) and the...
Who is being reached? Rethinking how to collect, analyze and use data on the coverage of multisectoral nutrition interventions
DataDENT hosted a Scientific Symposium at the IUNS- ICN 2025 conference that presented a synthesis of our work to improve the collection and use of multisector intervention coverage data. Objectives: To identify common challenges with current approaches to...
Making qualitative insights more accessible: Using AI to understand key informant interviews
An essential part of improving the availability and use of data in the countries where DataDENT works is understanding the needs and priorities of diverse national and sub-national actors engaged with the nutrition data value chain. We recently carried out multisector...
Revisiting the nutrition data value chain: An updated framework to promote data use
For the last seven years DataDENT has championed the nutrition data value chain (DVC) as the guiding framework for our initiative. It is rare to see a presentation by a DataDENT team member that does not start with the DVC. DataDENT did not create the idea of a DVC or...
Improving multi-sectoral nutrition coverage measurement: The One Nutrition Coverage Survey in Bangladesh
Over the last two decades many low-and-middle-income countries (LMICs) have developed multi-sectoral nutrition policies to address high rates of malnutrition across their populations. As of 2022, 45 out of 66 Scaling Up for Nutrition (SUN) countries have a national...
Methodological considerations and cost to measure coverage of multi-sectoral nutrition interventions: Protocol for the One Nutrition Coverage Survey in Bangladesh
Journal Article | https://doi.org/10.1136/bmjopen-2025-099314 Date of Publication | December 2025 This journal article was submitted as a preprint. Preprint Article | https://doi.org/10.12688/verixiv.754.1 Date of Publication | March 2025 Abstract Introduction Despite...
Co-coverage of social protection programs and maternal and child nutrition interventions in Bangladesh, India and Nepal
Preprint Article | https://www.medrxiv.org/content/10.1101/2025.01.22.25320966v1 Date of Publication | January 2025 Abstract Social protection programs (SPPs) are common in South Asia, a global malnutrition hotspot. Provision of SPP benefits as well as essential...
Collecting More with Less: Lessons from the One Nutrition Coverage Survey (ONCS) in Bangladesh
To combat multiple forms of malnutrition, countries are investing in multisectoral interventions delivered through health, agriculture, social protection, education, and food systems. However, the question of who is being reached by multisector interventions remains...
TOOLKIT: One Nutrition Coverage Survey-Bangladesh
Overview of the Survey The One Nutrition Coverage Survey (ONCS) is methods-focused population-based household survey designed to generate comprehensive data on the coverage of multi-sectoral nutrition interventions across the life stages. Developed under the Data for...
Who is being reached with multisector nutrition interventions? Introducing a framework for co-coverage and composite coverage analysis
Measures of multisectoral nutrition intervention coverage Many countries implement multisectoral nutrition strategies that address malnutrition through interventions delivered by different sectors, including health, agriculture, education, industry, social protection,...
Measuring multi-sector nutrition and health intervention coverage using composite coverage analysis methods: A scoping review
Preprint Article | https://doi.org/10.12688/verixiv.2006.1 Date of Publication | September 2025 Abstract Composite indices provide an opportunity to measure the reach of multisector strategies as countries progress towards Sustainable Development Goals (SDGs) and the...
Who is being reached? Rethinking how to collect, analyze and use data on the coverage of multisectoral nutrition interventions
DataDENT hosted a Scientific Symposium at the IUNS- ICN 2025 conference that presented a synthesis of our work to improve the collection and use of multisector intervention coverage data. Objectives: To identify common challenges with current approaches to...
Making qualitative insights more accessible: Using AI to understand key informant interviews
An essential part of improving the availability and use of data in the countries where DataDENT works is understanding the needs and priorities of diverse national and sub-national actors engaged with the nutrition data value chain. We recently carried out multisector...
Revisiting the nutrition data value chain: An updated framework to promote data use
For the last seven years DataDENT has championed the nutrition data value chain (DVC) as the guiding framework for our initiative. It is rare to see a presentation by a DataDENT team member that does not start with the DVC. DataDENT did not create the idea of a DVC or...
Improving multi-sectoral nutrition coverage measurement: The One Nutrition Coverage Survey in Bangladesh
Over the last two decades many low-and-middle-income countries (LMICs) have developed multi-sectoral nutrition policies to address high rates of malnutrition across their populations. As of 2022, 45 out of 66 Scaling Up for Nutrition (SUN) countries have a national...
Methodological considerations and cost to measure coverage of multi-sectoral nutrition interventions: Protocol for the One Nutrition Coverage Survey in Bangladesh
Journal Article | https://doi.org/10.1136/bmjopen-2025-099314 Date of Publication | December 2025 This journal article was submitted as a preprint. Preprint Article | https://doi.org/10.12688/verixiv.754.1 Date of Publication | March 2025 Abstract Introduction Despite...
Co-coverage of social protection programs and maternal and child nutrition interventions in Bangladesh, India and Nepal
Preprint Article | https://www.medrxiv.org/content/10.1101/2025.01.22.25320966v1 Date of Publication | January 2025 Abstract Social protection programs (SPPs) are common in South Asia, a global malnutrition hotspot. Provision of SPP benefits as well as essential...